{"corpus_id":72002031,"paper_sha":"5a6acce62f6a4341c568d23dcb14152df0e790ff","doi":"10.1590/S0034-89102013000100017","arxiv_id":null,"pmid":null,"pmcid":null,"mag_id":2025462443,"dblp_id":null,"acl_id":null,"title":"Uso das redes neurais artificiais na aplicação de metodologia para alocação de recursos da saúde","year":2013,"publication_date":"2013-02-01","venue":"","journal":{"name":"Revista De Saude Publica","pages":"128-136","volume":"47"},"journal_issn":null,"journal_title":null,"publication_types":[],"pubmed_pub_types":null,"s2_fields_of_study":[],"reference_count":8,"citation_count":13,"influential_citation_count":0,"is_open_access":true,"arxiv_categories":null,"arxiv_license":null,"arxiv_journal_ref":null,"mesh_headings":null,"chemicals":null,"comments_corrections":null,"source_flags":1,"s2_open_access_pdf_url":"https://www.scielo.br/j/rsp/a/9ybVWJsdxWyVBvcXF9MdKrH/?lang=pt&format=pdf","s2_open_access_landing_url":"https://www.semanticscholar.org/paper/5a6acce62f6a4341c568d23dcb14152df0e790ff","s2_open_access_license":"CCBY","s2_open_access_status":"GOLD","pmc_open_access_pdf_url":null,"pmc_open_access_landing_url":null,"pmc_open_access_license":null,"pmc_open_access_status":null,"unpaywall_open_access_pdf_url":null,"unpaywall_open_access_landing_url":null,"unpaywall_open_access_license":null,"unpaywall_open_access_status":null,"abstract":"OBJETIVO: Descrever a construcao de fator de alocacao de recursos financeiros com base na necessidade em saude da populacao. METODOS: Estudo quantitativo, com dados coletados em bases de dominio publico, referentes ao estado de Pernambuco nos anos entre 2000 e 2010. Foram selecionadas variaveis que refletissem os indicadores epidemiologicos, demograficos, socioeconomicos e educacionais para compor um fator de alocacao que apontasse as necessidades de saude da populacao. As fontes pesquisadas foram: Departamento de Informatica do Sistema Unico de Saude, Atlas do Desenvolvimento Humano no Brasil, Instituto Brasileiro de Geografia e Estatistica, Sistema de Informacoes sobre Orcamentos Publicos em Saude, Tesouro Nacional e dados da Secretaria Estadual de Saude de Pernambuco de 2000 a 2010, de acordo com a disponibilidade da informacao mais recente. Foi realizada a correlacao linear de Pearson e, para o calculo do fator de alocacao, a analise pelas Redes Neurais Artificiais. Os quartis dos municipios foram definidos segundo as necessidades em saude. RESULTADOS: A distribuicao apresentada aponta a Regiao Litorânea e boa parte da Regiao da Mata Norte e Sul e do Agreste Setentrional e Central situados no Quartil 1, este com o maior numero de municipios. O Agreste Meridional teve municipios em todos os quartis. Na Regiao do Pajeu/Moxoto, grande parte dos municipios esteve no Quartil 1. Semelhante distribuicao foi verificada no Sertao Central. No Araripe, a maioria dos municipios esteve nos Quartis 3 ou 4 e a Regiao do Sao Francisco ficou dividida entre os Quartis 1, 2 e 3. CONCLUSOES: O fator de alocacao agregou os municipios pernambucanos, por agrupar variaveis que sao relacionadas com as necessidades em saude da populacao, e separou os que possuem extremas necessidades de maior aporte financeiro daqueles que precisam com menor intensidade.","claims":[{"public_id":"cl_3505ab3c2e0a5ad7af6751083be87d30","status":"active","text":"A factor for allocating financial resources was constructed from population health need.","confidence":0.98,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_3505ab3c2e0a5ad7af6751083be87d30"},{"public_id":"cl_3d67e3654cecf2c5beac483e4145b0ac","status":"active","text":"Municipalities were grouped into quartiles according to health needs, with the coastal region and much of Mata Norte, Mata Sul, and Agreste Setentrional/Central concentrated in Quartile 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